quoting prices of the items ordered, finalizing shipping dates, preparing contracts, and dealing with customer complaints. To be successful as an order clerk, you must verify customer and order information for accuracy, inform customers about shipping details, and recommend products or services that will meet customers’ needs.
A top-notch order clerk will establish excellent customer relations and keep the clients informed about the status of their orders. Order Clerk Responsibilities: Receiving orders from customers via mail, phone, or other electronic means. Obtaining customers’ details and billing information, and entering the information correctly on the order form. Notifying departments
when supplies of items are low, or when orders could deplete available supplies. Informing customers about prices, shipping dates, and anticipated delays. Preparing invoices, shipping documents, and contracts.
Forwarding information to the correct departments for delivery of the order. Inspecting outgoing orders to ensure compliance with customer specifications. Reviewing orders for completeness and forwarding incomplete orders for further processing. Liaising with production, sales, shipping, warehouse, or delivery personnel to trace or accelerate shipments. Recommending merchandise or services that will meet or improve upon customers’ needs. Order Clerk Requirements: A high school diploma
or GED. Prior work experience in a similar field is preferred.
SAP MM experience is preferred. Computer literacy, including word processing, spreadsheet software, and database applications. Willingness to receive on-the-job training An excellent rapport with customers. The ability to handle customer complaints in a professional and calm manner. Excellent written and verbal communication skills. Analytical thinking, and excellent attention to detail. Superb time management skills and the ability to coordinate team activities.
and provide operational support as required. Essential Responsibilities Develop, design, code, debug and document high traffic web applications and services running from cloud platforms. Design, write, and implement unit tests and end to end tests. Provide input and guidance on development and architecture decisions; collaborate with other engineers.
Evaluate new technologies and determine viability per solution. Analyze requirements and solution architecture and provide task specific estimates. Mentor junior engineers with regards to coding practices and design decisions. Participate in code reviews to ensure high quality and consistent coding practices. Participate in scrum team ceremonies
in agile methodology, sprint planning, backlog grooming. Collaborate closely with other IT teams globally from Product Management, Architecture, Dev Ops, Quality Assurance (QA), Infrastructure.
Other duties as assigned. Minimum Experience and Qualifications Bachelor’s Degree in Computer Science, Computer Engineering, or related discipline; OR demonstrated capability to perform job responsibilities with a combination of a High School Diploma/GED and at least four (4) years of previous related work experience. Four (4) years of software engineering experience, building responsive web applications and Application Program Interfaces (APIs). Four (4) years of professional full stack development
using Node Js, Java, Angular. Experience with Continuous Integration (CI)/Continuous Delivery (CD) pipeline and tools like Jenkins, Sonarqube.
Experience with developing software applications in at least one of the major Cloud platforms – Azure, GCP or AWS. Available for moderate overnight travel (up to 15%). In possession of valid travel documents and the ability to travel in and out of the United States Able to work flexible hours and be available for emergency response on short notice Able to pass a pre-employment drug test. Legally eligible to work in the country in which the position is located. Preferred Experience and Qualifications Three (3) years of experience in agile practices in Scrum teams.
Knowledge of modern software architecture, microservices, micro-frontends, serverless applications and frameworks. Experience with Magnolia Content Management Systems (CMS) and Fastly Content Delivery Networks (CDN). Knowledge of Search Engine Optimization (SEO). Keen interest in application security and knowledge of security best practices. Knowledge of Dev Ops practices. Experience with Yarn, Gradle, Web Pack, CSS. Azure certifications. Crewmember Expectations: Regular attendance and punctuality Potential need to work flexible hours and be available to respond on short-notice Able to maintain a professional appearance When working or traveling on Jet Blue flights, and if time permits, all capable crewmembers are asked to assist with light cleaning of the aircraft Must be an appropriate organizational fit for the Jet Blue culture, that is, exhibit the Jet Blue values of Safety, Caring, Integrity, Passion and Fun Promote Jet Blue’s #1 value of safety as a Safety Ambassador, supporting Jet Blue’s Safety Management System (SMS) components, Safety Policy and behavioral standards Identify safety and/or security concerns, issues, incidents or hazards that should be reported and report them whenever possible and by any means necessary including Jet Blue’s confidential reporting systems (Aviation Safety Action Program (ASAP) or Safety Action Report (SAR)) Equipment: Computer and other office equipment Work Environment: Traditional office environment Physical Effort: Generally not required, or up to 10 pounds occasionally, 0 pounds frequently.
(Sedentary) Compensation: The base pay range for this position is between $105,600.00 and $150,400.00 per year. Base pay is one component of Jet Blue’s total compensation package, which may also include access to healthcare benefits, a 401(k) plan and company match, crewmember stock purchase plan, short-term and long-term disability coverage, basic life insurance, free space available travel on Jet Blue, and more.
#LI-AC1 #LI-Hybrid
engines. Performs related duties as required. Required: High School/GED Completion of a trade apprenticeship program 5 Years for Work Experience as a Stationary Engineer Possession of a valid NYC Stationary Engineer's license and refrigeration license. Must also possess the following FDNY Certificate Fitness: S-12 Citywide Sprinkler Systems S-13 Citywide Standpipe System G71 Supervision of Piped Non-Flammable Medical Gases G60 Torch Use of Flammable Gases F60 Fire Guard for Torch Operations & Const.
Site S95 Supervision of Fire Alarm Systems and Other Related Syst P99 Con Low PSI Oil Burn Department: Engineering Bargaining Unit: Local 30 Campus: WAKEFIELD Employment Status: Regular Full-Time
Address: 600 East 233rd Street, Bronx Shift: Day Scheduled Hours: 6 AM-2:30 PM Req ID: 216396 Salary Range/Pay Rate: $54.95 For positions that have only a rate listed, the displayed rate is the hiring rate but could be subject to change based on shift differential, experience, education or other relevant factors.
To learn more about the “Montefiore Difference” – who we are at Montefiore and all that we have to offer our associates, please click here. Diversity, equity and inclusion are core values of Montefiore. We are committed to recruiting and creating an environment in which associates feel empowered to thrive and be their authentic selves through our inclusive culture. We welcome
your interest and invite you to join us. Montefiore is an equal employment opportunity employer.
Montefiore will recruit, hire, train, transfer, promote, layoff and discharge associates in all job classifications without regard to their race, color, religion, creed, national origin, alienage or citizenship status, age, gender, actual or presumed disability, history of disability, interactionual orientation, gender identity, gender expression, genetic predisposition or carrier status, pregnancy, military status, marital status, or partnership status, or any other characteristic protected by law. N/A
Science (ODS), Commercial Data Science (CDS), Artificial Intelligence (AI) & Machine Learning (ML) engineering, and Business Intelligence teams operating in a center-of-excellence model reporting to the Senior Manager, Data Science & Analytics. The teams develop advanced Data products and insights for all cross-functional teams at Jet Blue including up/cross-skilling the internal analyst community.
The Machine Learning Operations Engineer will be responsible for maintaining production-grade Machine Learning pipelines that deliver the best results with optimum deployment efficiencies. The Machine Learning Operations Engineer will collaborate with Data Science and Development Operations
(Dev Ops) teams to build and maintain the infrastructure and Continuous Integration/Continuous Deployment ( CI/CD) pipelines necessary to deploy and maintain AI and ML products at scale.
The Machine Learning Operations Engineer reports to the General Manager, IT Data Science & Analytics. Essential Responsibilities Collaborate with Architecture, Infrastructure and Data Science teams to translate their needs or challenges into production-grade Artificial Intelligence and Machine Learning deployment architectures for batch, real-time streaming and edge deployments Build CI/CD pipelines for ML models, AI products and data engineering pipelines with an emphasis on automated testing, version
control, documentation and monitoring Optimize spark, torch and Databricks pipelines to meet latency, cost, reliability and scalability requirements Design and build automated unit tests and integration tests for ML models, AI products and data engineering pipelines Build and implement monitoring and alerting framework for AI deployments Effectively communicate architectures and technical details with partners Stay up-to-date with the latest trends and advancements in AI and ML and identify opportunities for the team to implement new models and technologies Follow an agile development methodology including Software Development Lifecycle (SDLC) framework Other duties as assigned Minimum Experience and Qualifications: Bachelor’s Degree in computer science or a quantitative discipline; OR demonstrated capability to perform job responsibilities with a High School Diploma/GED and at least four (4) years of previous relevant experience Three (3) years of relevant industry experience Experience deploying and maintaining Artificial Intelligence and Machine Learning models including efficient deployment architectures based on industry best-practices Able to write production-grade code and be familiar with software engineering best practices, including testing, version control and CI/CD frameworks by working closely with internal Dev Ops teams Ability to successfully complete technical interviews in areas of deployment frameworks, Machine Learning, Python, Py Spark and Machine Learning Operations Experience using CI/CD and Dev Ops technologies such as Kubernetes, Docker, Github Actions, Jenkins, Terraform, mlflow Proficiency in Python, Structured Query Language (SQL), git and common Data Science, Artificial Intelligence and Machine Learning libraries Available for occasional overnight travel (10%) Must pass a pre-employment drug test Must be legally eligible to work in the country in which the position is located Preferred Experience and Qualifications Advanced degree in computer science or a quantitative discipline Five (5) years of relevant industry experience Experience deploying Artificial Intelligence and Machine Learning frameworks in: Forecasting, Recommendation Systems, A/B Testing, Logistics Optimization, Churn Analysis, Segmentation Analysis, Deep Learning and Natural Language Processing Experience building and implementing feature stores, vector databases, and custom Application Program Interfaces (APIs) Experience using Databricks, Py Torch, Tensor Flow, Docker, Kubernetes, Py Spark / Spark, Terraform, Snowflake, dbt, Azure Cloud, Flask, Fast API Crewmember Expectations: Regular attendance and punctuality Potential need to work flexible hours (including nights & weekends) and be available to respond on short-notice Able to maintain a professional appearance When working or traveling on Jet Blue flights, and if time permits, all capable Crewmembers are asked to assist with light cleaning of the aircraft Must be an appropriate organizational fit for the Jet Blue culture, that is, exhibit the Jet Blue values of Safety, Caring, Integrity, Passion and Fun Promote Jet Blue’s #1 value of safety as a Safety Ambassador, supporting Jet Blue’s Safety Management System (SMS) components, Safety Policy and behavioral standards Identify safety and/or security concerns, issues, incidents or hazards that should be reported and report them whenever possible and by any means necessary including Jet Blue’s confidential reporting systems (Aviation Safety Action Program (ASAP) or Safety Action Report (SAR)) Equipment: Computer and other office equipment Work Environment: Traditional office environment Physical Effort: Generally not required, or up to 10 pounds occasionally, 0 pounds frequently.
(Sedentary) Compensation: The base pay range for this position is between $117,500.00 and $150,400.00 per year. Base pay is one component of Jet Blue’s total compensation package, which may also include access to healthcare benefits, a 401(k) plan and company match, crewmember stock purchase plan, short-term and long-term disability coverage, basic life insurance, free space available travel on Jet Blue, and more. #LI-LL1 #LI-Hybrid
